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Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.

Read the Joint Solution Brief Gigamon Improves Security Visibility with Splunk Enterprise to see how to effectively analyze network events for security threats. Benefits include enhanced visibility and deeper, faster security analytics and intelligence based on all machine data (not just security events), among many others. Download now!

Garnering critical IT insight helps organizations and individuals make the right decisions to better serve customers, partners, regulatory bodies and internal employees and answer many important business challenges. This whitepaper describes LogLogic's philosophy and evolution of IT Data Management.

Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.

IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics

he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights.
Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights.
You’ll learn about:
*The critical role AI and machine learning play in finding answers
*How data is the fuel for your machine learning and AI-powered initiatives
*The ways in which AI and machine learning are being applied today to bolster IT operations and security

IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs.
Download “The Essential Guide to Infrastructure Machine Data” for:
The benefits of machine data for network, remote, web, cloud and server monitoring
IT infrastructure monitoring data sources to include in your machine data platform
Machine data best practices

With the growing need to effectively monitor your infrastructure, metrics have emerged as a way to gain insight to the trends and problems within your IT environment. collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside another tool, such as Splunk, to help identify trends, issues and relationships you may not be able to observe otherwise.
This e-book gives you a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment. Download your complimentary copy of “A Beginner’s Guide to collectd” to learn how to:
*Get and configure collectd
*Analyze collectd data
*Use Splunk and collectd together to analyze large amounts of infrastructure data

Due to recent cyberattacks, security operations centers (SOCs) have had to focus on a holistic and cohesive security strategy by consolidating the right people, processes and technology to mitigate and remediate attacks.
This white paper, “The Five Essential Capabilities of an Analytics-Driven SOC”, dives into the necessity of SOCs to be analytics driven and how it helps IT and business leaders assess their own risk levels.
Download this white paper to to learn about:
*How advanced analytics and machine learning are now critical hallmarks of the modern security platform
*How proactively hunting and investigating threats can shore up defenses
*Why adaptive security architectures, like Splunk’s, are needed to prevent, detect and respond to attacks in today’s security landscape

How can you utilize machine data to support compliance with the General Data Protection Regulation of the European Union?
This white paper, “How Machine Data Supports GDPR Compliance”, answers this question and identifies three use cases that can help support your GDPR compliance program, regardless of the nature of your industry or deployment – on-premises, in the cloud or hybrid
Download the white paper to:
*Master the risks necessary to be prepared for GDPR through real-world scenarios
*Understand which articles of GDPR will impact your business
*Learn how machine data can help you overcome those requirements

On May 25, 2018, per the General Data Protection Regulation (GDPR), organizations with business ties to the European Union will need to comply to GDPR standards. The cost of non-compliance are stiff fines. The GDPR contains nearly 100 separate and nuanced articles that can be difficult to understand even if you are a data privacy expert.
This short primer is a cheat sheet to help both the data privacy expert and non-expert approach the GDPR with key takeaways. Download your free copy of “A Short Primer of GDPR Essentials” to learn:
*Financial Implications: The potential impact of a GDPR breach condition.
*Key Focus Areas: A "new considerations checklist" for data privacy experts. It can also be used as a basic "bootstrapping checklist" for those less versed in data privacy.
*People, Process, Tools: Tips to help reduce anxiety and uncertainty about how to operationalize GDPR.

While the modern enterprise embraces digital technology, it is also at risk of cyberattacks. In this guide, “The Essential Guide to Security”, we map out how organizations can use machine data for specific use cases and get started addressing threats and security challenges.
Download your complimentary copy to learn:
*How to assess your organization’s security maturity
*What specific threats you should be looking for and how to fight them
*What data sources are needed for specific use cases
*What software solution you need to get ahead of different threats

Alice Bluebird, a quirky security analyst for hire, is hunting down a nation state of hackers thirsty for the recipes of Frothly, a cutting-edge craft brewery. Follow Alice as she works to solve the mystery of the breach. Did she catch the incident before the hackers managed to steal Frothly’s super secret formulas? Did the hackers act alone or — scarier yet In this light hearted graphic novel “Through the Looking Glass Table”, discover how machine data, as well as an analytics-driven platform, log management, SIEM, UEBA and SOAR solutions, can help anyone — IT managers and sophisticated SOC analysts — better understand and respond to incidents, breaches, phishing attempts, insider threats and more.— did they have help from the inside?

The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution.
Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments.
Download your complimentary copy to:
*Gain insight into the developing industry of AIOps and its future
*Learn how to optimize IT operations powered by machine learning to drive business value
*Compare different AIOps platform vendors and their range of capabilities

Gartner's “2017 Critical Capabilities for Security Information and Event Management” report assesses eight SIEM capabilities against the increasingly complex vendor landscape. The conclusion? Splunk had the highest score in the Security Monitoring use case.
We believe customers rely on Splunk’s advanced security analytics capabilities to meet their SIEM and security intelligence needs — improving threat detection, investigation and time to remediation. It’s proven to help with compliance and incident reporting, automated alerting of common security events and historical analysis for detected incidents.
CISOs, CIOs, and security and risk leaders should download Gartner’s annual report to make the best-informed buying decision for security and learn about Splunk’s leadership position in the market.

The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential.
Download this white paper to learn:
*How organizations can answer critical questions that have been impeding business success
*How the financial services industry can make great strides in security, compliance and IT
*Common machine data sources in financial services firms

collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable.
Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.

One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products

DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline?
Download your copy of Driving DevOps Success With Data to learn:
How machine data can optimize your application delivery
The four key capabilities DevOps teams must have to optimize speed and customer satisfaction
Sample metrics to measure your DevOps processes against

From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences.
Download the e-book to learn how:
Micron Technology reduced number of IT incidents by more than 50%
Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events
TransUnion combines machine data from multiple applications to create an end-to-end transaction flow